title: A novel data-mining platform leveraging social media to monitor outcomes of Januvia.
abstract: A novel data-mining method was developed to gauge the experiences of the diabetes mellitus drug Januvia. Self-organizing maps were used to analyze forum posts numerically to infer user opinion of drug Januvia. Graph theory was used to discover influential users. The result is a word list compilation correlating positive and negative word cluster groups and a web of influential users on Januvia. The implications could open new research avenues into rapid data collection, feedback, and analysis that would enable improved solutions for public health.
authors.forename: A
authors.initials: A
authors.lastname: Akay
authors.forename: A
authors.initials: A
authors.lastname: Dragomir
authors.forename: Björn-Erik
authors.initials: BE
authors.lastname: Erlandsson
mesh_terms: D057225:Data Mining / Q000379:methods*; D003920:Diabetes Mellitus / Q000188:drug therapy; D006801:Humans; D007004:Hypoglycemic Agents / Q000627:therapeutic use; D011719:Pyrazines / Q000627:therapeutic use; D000068900:Sitagliptin Phosphate; D061108:Social Media; D016896:Treatment Outcome; D014230:Triazoles / Q000627:therapeutic use
chemical_list: D007004:Hypoglycemic Agents; D011719:Pyrazines; D014230:Triazoles; D000068900:Sitagliptin Phosphate